Introduction to Data Technologies - Murrell, Paul
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Unique and much requested, this reference provides scientists with a mandatory tutorial on dealing with scientific data as captured by various programming languages, such as HTML, XML, SQL, and PHP. Written by Paul Murrell, the principle developer of the R Project, and based on a university course he teaches, this book presents each of the key technologies and then gives guidance on data handling and processing with each. In addition to chapters containing detailed and historical information, illustrative examples and case studies, Murrell includes entirely separate bare bones chapters for quick reference.…mehr

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Produktbeschreibung
Unique and much requested, this reference provides scientists with a mandatory tutorial on dealing with scientific data as captured by various programming languages, such as HTML, XML, SQL, and PHP. Written by Paul Murrell, the principle developer of the R Project, and based on a university course he teaches, this book presents each of the key technologies and then gives guidance on data handling and processing with each. In addition to chapters containing detailed and historical information, illustrative examples and case studies, Murrell includes entirely separate bare bones chapters for quick reference.
Autorenporträt
Paul Murrell is a Senior Lecturer in the Department of Statistics at the University of Auckland, New Zealand. Author of the bestselling R Graphics (2006), he is also part of the development team for the R and Omegahat statistical computing projects. Dr. Murrell's research interests include computational and graphical statistics.